Fractional CTO / Head of AI
Senior technical, product, data, or AI leadership before, during, or instead of a full-time executive hire.
Engagement lanes
Where the Bato Labs proof translates.
Release-system installation
Install the spec -> plan -> gate -> ship loop inside a team that needs repeatable product delivery.
AI-native release-system audit
Identify why releases stall across specs, planning, build execution, QA, governance, launch readiness, measurement, and monetization.
Data & AI product strategy to production
Turn AI concepts into governed workflows with human review, reliability, evaluation, and measurable business outcomes.
Advisory, diligence, or founding-partner collaboration
Evaluate, originate, build, release, market, and monetize products repeatedly with an operator who can move from strategy to execution.
What Bato Labs proves
Live apps, not only advisory language.
Bato Labs proves that Christopher Petrino can move from ambiguous product idea to shipped app, market surface, acquisition readiness, and monetization infrastructure.
The same operating loop behind Hum, Firstline, and Whimsy can be applied to companies that need AI-native delivery discipline, executive-level technical judgment, and production accountability.
First conversation
What to include.
In the first message, include what you are building, where releases currently stall, what kind of opportunity you have in mind, and whether the need is fractional, advisory, executive, diligence, or founding-partner oriented.